Vatsalya Tewari

Senior Software Engineer

New Delhi, Delhi, India4 yrs 5 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable microservices and cloud-native applications.
Proven track record in optimizing performance for SaaS products.
Strong leadership experience mentoring engineering teams.

Stackforce AI infers this person is a SaaS and Fintech expert with strong backend engineering skills.

Contact

vatsalya.tewari@impetus.com LinkedIn

Skills

Core Skills

MicroservicesKubernetesAwsJavaGcpData Engineering

Other Skills

ANTLRAPI DevelopmentAWS CloudFormationAWS Elastic BeanstalkAWS KMSAWS LambdaAWS TextractAmazon DynamodbAmazon EC2Amazon ECSAmazon EKSAmazon Web Services (AWS)Ant DesignApache AirflowApache Beam

About

I specialize in building high-performance, scalable applications with a strong foundation in Java, distributed systems, and cloud-native SaaS products. My experience spans both backend engineering-covering microservices, multithreading, Big data(Hadooop/Spark), SQL/NoSQL optimization and frontend development with JavaScript, TypeScript, React. I have contributed to multi-tenant SaaS products in the insurance and national security domains. I’m comfortable owning vertical slices of applications and delivering features end to end, from database query optimization and REST API development to UI implementation, CI/CD pipelines, and deploying Dockerized services on Kubernetes.

Experience

4 yrs 5 mos

Total Experience

4 yrs 5 mos

Average Tenure

4 yrs 5 mos

Current Experience

Impetus

4 roles

Senior Software Engineer

Promoted

Jul 2025 – Present · 11 mos

I engineered scalable microservices powering a SaaS BI platform, developing a dynamic query builder to handle complex reporting use cases and optimizing performance with strategic caching at the API and web tiers. I created the codebase foundation, contributed to architectural decisions, and mentored a team of four engineers through code reviews and collaboration.
✅ Implemented a dynamic query builder and sophisticated MongoDB aggregation pipelines for complex reporting.
✅ Optimized MongoDB Atlas cost and performance, delivering sub-second SLAs for BI dashboards.
✅ Improved application performance through profiling and managed horizontal scaling with Kubernetes & Helm.
✅ Led a team of four engineers, owning the codebase foundation, conducting PR reviews, and driving technical direction.

Docker ProductsCascading Style Sheets (CSS)KubernetesJSON Web Token (JWT)HTMLMicroservices

Software Engineer

Promoted

Jul 2023 – Aug 2025 · 2 yrs 1 mo

✅ Built a serverless insurance claim processor with Java SnapStart Lambdas, AWS Textract, Step Functions, and RDS, automating receipt classification and notifications via SES — cutting manual effort by 80%.
✅ Implemented OAuth2/OIDC authentication with Okta, leveraging PKCE for React, scope-based API authorization, and client-credentials for service-to-service flows — ensuring secure, standards-compliant identity management across the application.
✅ Engineered custom SQL-like operators (JOINs, UNIONS, subqueries, GROUP BY/HAVING) in Java (Streams API) to overcome MongoDB join performance and $facet limitations, enabling complex aggregations with near real-time responsiveness.

RedisNoSQLRepresentational State Transfer (REST)JavaMavenDatabases+28

Associate Software Engineer

Jul 2022 – Jul 2023 · 1 yr

✅ Developed high-performance Java microservices using Spring Boot and GraalVM for a national security agency.
✅ Implemented a GraalVM shared library loader to dynamically link JVM JARs into native images at runtime.
✅ Collaborated with lead engineers on refactoring efforts, reducing technical debt and accelerating feature delivery.

Spring BootRepresentational State Transfer (REST)Java ConcurrencyJavaMavenDatabases+23

Project Trainee

Jan 2022 – Jul 2022 · 6 mos

Designed and developed ETL pipelines using BigQuery and Apache Beam Java SDK on a GCP project.
Aggregated and transformed large datasets from Google Cloud Storage for reporting purposes.
Optimized ETL job performance to enhance data workflows for timely decision-making.
Collaborated with analysts to deliver structured data for actionable insights in Looker.

Google Cloud DataflowApache BeamApache AirflowRepresentational State Transfer (REST)JavaMaven+28